Skip to main content

mxlmodels-logo

MxlModels

MxlModels is a Python package of reference mechanistic models. It contains the same models as in the MxlBricks repo, but written as single, flat files to make inspection easier.

Usually, these here will be created by codegen from MxlBricks.

Installation

You can install mxlpy using pip: pip install mxlmodels.

Done. Simple as that.

Models

Name Description
Yokota 1985 Photorespiration
Poolman 2000 CBB cycle, based on Pettersson & Ryde-Pettersson 1988
Ebenhöh 2011 PSII & two-state quencher & ATP synthase
Ebenhöh 2014 PETC & state transitions & ATP synthase from Ebenhoeh 2011
Matuszyńska 2016 NPQ 2011 + PSII & four-state quencher
Matuszyńska 2016 PhD ?
Matuszyńska 2019 Merges PETC (Ebenhöh 2014), NPQ (Matuszynska 2016) and CBB (Poolman 2000)
Saadat 2021 2019 + Mehler (Valero ?) & Thioredoxin & extendend PSI states & consumption
Ebeling 2026 unpublishd
Hahn 1987 Photosynthesis and Photorespiration
Lazar 1997 Fluorescence induction

Tool family 🏠

MxlModels is part of a larger family of tools that are designed with a similar set of abstractions. Check them out!

  • MxlPy is a Python package for mechanistic learning (Mxl)
  • MxlBricks is a Python package to build mechanistic models composed of pre-defined reactions (bricks)
  • MxlWeb brings simulation of mechanistic models to the browser!
  • pysbml simplifies SBML models for import/export with MxlPy
  • Parameteriser looks up kinetic parameters from BRENDA and other databases

Metadata

Release files for mxlmodels 1.4.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for mxlmodels 1.4.0
File Size Uploaded Provenance Actions
mxlmodels-1.4.0.tar.gz 3.6 MB With provenance Details for mxlmodels-1.4.0.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for mxlmodels 1.4.0
File Interpreter ABI Platform Actions
mxlmodels-1.4.0-py3-none-any.whl Python 3 none any Details for mxlmodels-1.4.0-py3-none-any.whl

Total release size: 3.8 MB

Release files / mxlmodels-1.4.0.tar.gz

Download URL mxlmodels-1.4.0.tar.gz
Size 3.6 MB
Tags Source
SHA-256 checksum
How to use checksums
9325ce557aaab63f5c33b8328bb7fcf7dd67564bd5b2c904e02d38ec48ba8fe3
BLAKE2b-256 checksum
How to use checksums
c3df457d263b7c55f2b29efc04de3a836a469fc97ef621b444937443eb90feb2
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Aug 14, 2026.

Transparency log

Release files / mxlmodels-1.4.0-py3-none-any.whl

Download URL mxlmodels-1.4.0-py3-none-any.whl
Size 170.8 kB
Tags Python 3
SHA-256 checksum
How to use checksums
711e403ffcebd02ab865cc5acf62f0ecf7cecff4b073d2b918751f4700d8bd2a
BLAKE2b-256 checksum
How to use checksums
1825adf98112e9e7586a47c46ccca2b422754e67a3732169bbf8daccd6508674
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Aug 14, 2026.

Transparency log

Security for mxlmodels 1.4.0

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

Full provenance

All 2 files in this release have been uploaded with provenance metadata.

Select from 2 files

Attestation for mxlmodels-1.4.0.tar.gz

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Aug 14, 2026.

Transparency log

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page